Title :
A fast, complex and efficient test implementation of the CNN Universal Machine
Author :
Cruz, J.M. ; Chua, L.O. ; Roska, T.
Author_Institution :
Electron. Res. Lab., California Univ., Berkeley, CA, USA
Abstract :
In this paper we report on a fast, complex and efficient implementation of the Cellular Neural Network Universal Machine as an IC chip. The chip has continuous time analog dynamics, and has been designed to process 500,000 image frames per second
Keywords :
analogue integrated circuits; cellular neural nets; neural chips; 500,000 image frames per second; CNN Universal Machine; IC chip; cellular neural networks; continuous time analog dynamics; test implementation; Analog memory; Capacitors; Cellular neural networks; Laboratories; Logic circuits; Programmable logic arrays; Testing; Turing machines; USA Councils; Voltage;
Conference_Titel :
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location :
Rome
Print_ISBN :
0-7803-2070-0
DOI :
10.1109/CNNA.1994.381706
